Southeast Asia Pathogen Intelligence Network

Detect outbreaks
before they spread.

A first-of-its-kind LMIC-led genomic surveillance and AI intelligence network safeguarding Vietnam, the Philippines, Nepal and Laos from disease threats — 4 to 8 weeks in advance.

Explore Domains Get Involved
4–8Weeks early warning
6Partner institutions
4Countries
3Disease domains
Field surveillance — One Health sampling
🐔 Field Surveillance
BSL-2 laboratory analysis
🔬 BSL-2 Laboratory
Genomic phylogenetic analysis
🧬 Genomic Analysis
Network Story

See SEAPIN in action

From coral reef surveillance to genomic laboratories — our network spans ecosystems and borders to detect threats before they become outbreaks.

🌊 One Health surveillance across land, water & air · 🧬 Genomic intelligence at speed · 🌏 4 countries · 6 institutions
One Health Intelligence at Scale

Why SEAPIN
matters now

SEAPIN is one of the first LMIC-led, multi-country disease intelligence networks to simultaneously address vector-borne diseases, antimicrobial resistance, and emerging pathogen threats across Southeast Asia and South Asia. Proactive genomic surveillance at critical human–animal–environment interfaces feeds into an open-access regional portal linked to WHO GLASS and ASEAN APSED.

🧬

Genomics & AI Laboratories

Sequencing infrastructure at each partner institution, generating real-time pathogen genome data across the region.

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Environmental Surveillance

eDNA, wastewater genomics, and mosquito microbiome sequencing to detect threats ecosystem-wide without individual host sampling.

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AI Outbreak Prediction

LSTM + XGBoost ensemble models integrate climate, ecology, vector, and genomic data for district-level forecast maps 4–8 weeks ahead.

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Evidence → Policy

National MoH co-investigators from Day 1 with a formal Evidence–Action Accountability Mechanism translating data into policy.

Surveillance Domains

What we track

Five active threat domains form SEAPIN's detection framework — spanning vector-borne viruses, drug-resistant bacteria, and novel emerging pathogens.

🌐
SEAPIN
Network
Click a domain
VBD · 01 Vector-borne

Dengue & Japanese Encephalitis

Cross-border serotype and lineage tracking via whole-genome sequencing, vector surveillance, AI-powered hotspot mapping, and seasonal vaccine timing guidance across SEAPIN sentinel sites.

4–8Weeks early warning
WGSFull genome sequencing
AIHotspot prediction
Dengue serotype 1–4 cross-border tracking
JEV lineage surveillance in reservoir hosts
Mosquito microbiome & vector competence profiling
Seasonal vaccine timing recommendation engine
VBD · 02 Artemisinin resistance

Malaria in the Mekong Corridor

Plasmodium vivax & falciparum genomics, artemisinin drug-resistance gene surveillance, and forest malaria interface mapping across the Greater Mekong Subregion.

Pf/PvDual-species tracking
kelch13Resistance gene monitored
GISForest interface mapping
Artemisinin & partner-drug resistance genotyping
Population structure & migration pathway analysis
Forest–agriculture–human interface hotspot mapping
Anopheles vector surveillance integration
AMR · 03 Hospital-acquired

ESKAPE Organisms

Genomic strain typing of E. coli, MRSA, Klebsiella, Pseudomonas, Enterococcus, and Acinetobacter. MCR colistin-resistance tracking via WHO GLASS integration.

6ESKAPE pathogens
GLASSWHO linked reporting
MCRColistin resistance tracked
Whole-genome sequencing of clinical isolates
MLST & resistome profiling by hospital ward
Cross-country transmission cluster detection
Real-time WHO GLASS data upload pipeline
AMR · 04 Metagenomics

Environmental Resistome

eDNA sampling from water bodies, agricultural soil, rice paddies, and wetlands. Shotgun metagenomics profiling AMR gene flow across 12 sentinel sites in the network region.

12Sentinel eDNA sites
WW-EpiWastewater epidemiology
14dPre-clinical lead time
Wastewater-based AMR gene surveillance
Agricultural runoff & soil resistome mapping
Gene transfer linkages to clinical isolates
Seasonal & spatial resistome flux tracking
Novel · 05 Pre-clinical detection

Emerging Threat Detection

Deep learning anomaly detection flags unknown sequences before clinical cases emerge. Wastewater and eDNA surveillance provide 14–21 day pre-clinical lead time for novel biological threats.

14–21dPre-clinical lead time
DLDeep learning detection
eDNAEnvironmental sampling
LSTM + XGBoost ensemble anomaly models
Unknown sequence flagging via metagenomic darkmatter
Wastewater pre-clinical signal across all sites
IHR-aligned rapid alert notification pipeline
Consortium Architecture

Multi-Nation Alliance

Six institutions across four countries form the backbone of SEAPIN's surveillance network — each contributing unique genomic, epidemiological, and analytical capabilities.

Lead Institution

Center for Molecular Dynamics Nepal

Consortium Coordinator · AMR Surveillance · Genomic Intelligence

🇳🇵 Kathmandu, Nepal
Partner

University of the Philippines Los Baños

Vector-borne Disease Surveillance · Environmental Genomics

🇵🇭 Los Baños, Philippines
Partner

National University of Laos

Mekong Corridor Surveillance · Malaria Genomics

🇱🇦 Vientiane, Laos
Partner

VinUniversity

AI & Data Science · Outbreak Prediction Modelling

🇻🇳 Hanoi, Vietnam
Partner

Georgia Southern University

Biostatistics · Epidemiological Modelling · Capacity Building

🇺🇸 Georgia, USA
Partner

University of Tasmania

Conservation Genomics · Wildlife–Pathogen Interface Research

🇦🇺 Tasmania, Australia
Scientific Leadership

The team behind SEAPIN

dibesh
🇳🇵

Dibesh Karmacharya, PhD

Executive Director & Founder
CMDN, Nepal

Pioneering One Health scientist spanning conservation genomics, zoonotic disease surveillance, and AMR across Nepal and South Asia. Founder of CMDN, BIOVAC Nepal, and led Nepal Tiger Genome Project.

peggy
🇲🇾

Woh Pei Yee (Peggy), PhD

Research Assistant Professor
VinUniversity, Vietnam

One Health AMR epidemiologist and ML specialist. Winner of the 2023 US-ASEAN STIC grant. PI of DAAD/RGC BeONE project. YSEALI Women's Leadership Academy fellow.

sheina
🇵🇭

Sheina Macy P. Manalo, DVM

Assistant Professor
UPLB, Philippines

Veterinary public health expert and diplomate of the Philippine College of Veterinary Epidemiologists. Lead researcher for JEV One Health study. Co-leads Epidemiology & Data Science Division at UPLB.

jessica
🇺🇸

Jessica Smith Schwind, PhD MPH

Director, IHLA
Georgia Southern Univ., USA

Epidemiologist and director of the Institute for Health Logistics & Analytics. Focuses on disease surveillance, capacity building, and emergency preparedness with a One Health lens.

remil
🇵🇭

Prof. Remil L. Galay, DVM, PhD

Associate Professor & Dept Chair
UPLB, Philippines

Outstanding Young Scientist (NAST Philippines). Expert in molecular detection of tick-borne pathogens. DVM cum laude and PhD from Yamaguchi University, Japan.

sherwin
🇵🇭

Dr. Sherwin I. Camba, DVM, PhD

Assistant Professor
UPLB, Philippines

Poultry production and medicine specialist with 10+ years as health consultant across East and Southeast Asia. PhD from Osaka Prefecture University, Japan.

nick
🇦🇺

Nick Fountain-Jones, PhD

Lecturer in Public Health
Univ. of Tasmania, Australia

Disease ecologist integrating genomics, ML, and field ecology. Research spans HPAI, mosquito-borne disease surveillance, and wildlife disease systems. One Health Tasmania & Antarctica Lead.

vannaphone
🇱🇦

Assoc. Prof. Dr. Vannaphone Phutthana

Dean
National Univ. of Laos, Laos

Dean with broad One Health expertise, animal health, and food safety. Coordinated ComAcross project with ILRI. PhD from Czech University of Life Sciences.

khao
🇱🇦

Khao Keonam, PhD

Researcher & Educator
Dept of Veterinary Medicine, National University of Laos

Wildlife conservation and zoonotic disease expert. Completed 2024 SEAOHUN Fellowship with WCS Vietnam. Integrates One Health principles in veterinary education. Lead researcher for JEV One Health study in Laos.

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